000			02094nam a2200517 i 4500
001			8327692
003			IEEE
005			20220712204919.0
006			m o d
007			cr |n|||||||||
008			180605s2017 maua ob 001 eng d
020			_a9780262346047 _qelectronic
020			_a0262346044
035			_a(CaBNVSL)mat08327692
035			_a(IDAMS)0b00006487b95bf9
040			_aCaBNVSL _beng _erda _cCaBNVSL _dCaBNVSL
050		4	_aQA76.9.D343 _bB54 2018eb
082	0	4	_a006.3/12 _223
100	1		_aBifet, Albert _eauthor. _925328
245	1	0	_aMachine learning for data streams : _bwith practical examples in MOA / _cAlbert Bifet, Ricard Gavald�a, Geoff Holmes, Bernhard Pfahringer.
264		1	_aCambridge, Massachusetts ; London, England _bThe MIT Press _c[2017]
264		2	_a[Piscataqay, New Jersey] : _bIEEE Xplore, _c[2018]
300			_a1 PDF (xxi, 262 pages) : _billustrations.
336			_atext _2rdacontent
337			_aelectronic _2isbdmedia
338			_aonline resource _2rdacarrier
490	1		_aAdaptive computation and machine learning
504			_aIncludes bibliographical references and index.
506			_aRestricted to subscribers or individual electronic text purchasers.
530			_aAlso available in print.
538			_aMode of access: World Wide Web
588			_aDescription based on PDF viewed 06/05/2018.
650		0	_aMachine learning. _91831
650		0	_aNeural networks (Computer science) _93414
650		0	_aData stream management systems. _925329
655		0	_aElectronic books. _93294
700	1		_aGavald�a, Ricard _eauthor. _925330
700	1		_aHolmes, Geoff _eauthor. _925331
700	1		_aPfahringer, Bernhard _eauthor. _925332
710	2		_aIEEE Xplore (Online Service), _edistributor. _925333
710	2		_aMIT Press, _epublisher. _925334
776	0	8	_iErscheint auch als: _nDruck-Ausgabe _z978-0-262-03779-2
830		0	_aAdaptive computation and machine learning _921570
856	4	2	_3Abstract with links to resource _uhttps://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=8327692
942			_cEBK
999			_c73541 _d73541